Optimization of de novo transcriptome assembly from high-throughput short read sequencing data improves functional annotation for non-model organisms
Work
Year: 2012
Type: article
Abstract: The k-mer hash length is a key factor affecting the output of de novo transcriptome assembly packages using de Bruijn graph algorithms. Assemblies constructed with varying single k-mer choices might r... more
Source: BMC Bioinformatics
Institutions Yale University, Massachusetts Institute of Technology
Cites: 23
Cited by: 34
Related to: 10
FWCI: 1.787
Citation percentile (by year/subfield): 73.32
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
APC paid (est): $2,072